Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

Prediction of PM10 Concentrations in the Ningdong Base

Authors
Fengjun Li, Xiaole Guo
Corresponding Author
Fengjun Li
Available Online December 2016.
DOI
10.2991/icseee-16.2016.92How to use a DOI?
Keywords
PM10; SVR; Prediction; Ningdong Base
Abstract

Utilization of PM10 concentrations and meteorological data of Ningdong Base, the PM10 concentration is predicted based on LS-SVR, BP-ANN and traditional MLR models. The results show that the LS-SVR model can better describe the nonlinear dependence between PM10 concentration and meteorological factors, and predict the PM10 concentration more accurately.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-278-7
ISSN
2352-5401
DOI
10.2991/icseee-16.2016.92How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Fengjun Li
AU  - Xiaole Guo
PY  - 2016/12
DA  - 2016/12
TI  - Prediction of PM10 Concentrations in the Ningdong Base
BT  - Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)
PB  - Atlantis Press
SP  - 497
EP  - 500
SN  - 2352-5401
UR  - https://doi.org/10.2991/icseee-16.2016.92
DO  - 10.2991/icseee-16.2016.92
ID  - Li2016/12
ER  -